Automatic keyword extraction from single-sentence natural language queries

Authors:
David X. Wang;Xiaoying Gao;Peter Andreae
Affiliations:
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

This paper presents a novel algorithm of extracting keywords from single-sentence natural language queries in English. The process involves applying a series of rules to a parsed query in order to pick out potential keywords based on part-of-speech and the surrounding phrase structure. A supervised machine learning method is also explored in order to find suitable rules, which has shown promising results when cross-validated with various training sets.